Literature DB >> 23663287

Validation of SAPS3 admission score and its customization for use in Korean intensive care unit patients: a prospective multicentre study.

So Yeon Lim1, Shin Ok Koh, Kyeongman Jeon, Sungwon Na, Chae-Man Lim, Won-Il Choi, Young-Joo Lee, Seok Chan Kim, Gyu Rak Chon, Je Hyeong Kim, Jae Yeol Kim, Jaemin Lim, Chin Kook Rhee, Sunghoon Park, Ho Cheol Kim, Jin Hwa Lee, Ji Hyun Lee, Jisook Park, Younsuck Koh, Gee Young Suh.   

Abstract

BACKGROUND AND
OBJECTIVE: To externally validate the simplified acute physiology score 3 (SAPS3) and to customize it for use in Korean intensive care unit (ICU) patients.
METHODS: This is a prospective multicentre cohort study involving 22 ICUs from 15 centres throughout Korea. The study population comprised patients who were consecutively admitted to participating ICUs from 1 July 2010 to 31 January 2011.
RESULTS: A total of 4617 patients were enrolled. ICU mortality was 14.3%, and hospital mortality was 20.6%. The patients were randomly assigned into one of two cohorts: a development (n = 2309) or validation (n = 2308) cohort. In the development cohort, the general SAPS3 had good discrimination (area under the receiver operating characteristics curve = 0.829), but poor calibration (Hosmer-Lemeshow goodness-of-fit test H = 123.06, P < 0.001, C = 118.45, P < 0.001). The Australasia SAPS3 did not improve calibration (H = 73.53, P < 0.001, C = 70.52, P < 0.001). Customization was achieved by altering the logit of the original SAPS3 equation. The new equation for Korean ICU patients was validated in the validation cohort, and demonstrated both good discrimination (area under the receiver operating characteristics curve = 0.835) and good calibration (H = 4.61, P = 0.799, C = 5.67, P = 0.684).
CONCLUSIONS: General and regional Australasia SAPS3 admission scores showed poor calibration for use in Korean ICU patients, but the prognostic power of the SAPS3 was significantly improved by customization. Prediction models should be customized before being used to predict mortality in different regions of the world.
© 2013 The Authors. Respirology © 2013 Asian Pacific Society of Respirology.

Entities:  

Keywords:  calibration; discrimination; intensive care unit; severity of illness

Mesh:

Year:  2013        PMID: 23663287     DOI: 10.1111/resp.12115

Source DB:  PubMed          Journal:  Respirology        ISSN: 1323-7799            Impact factor:   6.424


  9 in total

1.  Validation of the APACHE IV model and its comparison with the APACHE II, SAPS 3, and Korean SAPS 3 models for the prediction of hospital mortality in a Korean surgical intensive care unit.

Authors:  Hannah Lee; Yoon-Jung Shon; Hyerim Kim; Hyesun Paik; Hee-Pyoung Park
Journal:  Korean J Anesthesiol       Date:  2014-08-26

2.  Does the Mean Arterial Pressure Influence Mortality Rate in Patients with Acute Hypoxemic Respiratory Failure under Mechanical Ventilation?

Authors:  Juarda Gjonbrataj; Hyun Jung Kim; Hye In Jung; Won-Il Choi
Journal:  Tuberc Respir Dis (Seoul)       Date:  2015-04-02

3.  Usefulness of N-terminal pro-B-type natriuretic peptide in patients admitted to the intensive care unit: a multicenter prospective observational study.

Authors:  Chin Kook Rhee; So Yeon Lim; Shin Ok Koh; Won-Il Choi; Young-Joo Lee; Gyu Rak Chon; Je Hyeong Kim; Jae Yeol Kim; Jaemin Lim; Sunghoon Park; Ho Cheol Kim; Jin Hwa Lee; Ji Hyun Lee; Jisook Park; Younsuck Koh; Gee Young Suh; Seok Chan Kim
Journal:  BMC Anesthesiol       Date:  2014-03-10       Impact factor: 2.217

Review 4.  Evaluation of Simplified Acute Physiology Score 3 performance: a systematic review of external validation studies.

Authors:  Antonio Paulo Nassar; Luiz Marcelo Sa Malbouisson; Rui Moreno
Journal:  Crit Care       Date:  2014-06-06       Impact factor: 9.097

5.  Performance of Simplified Acute Physiology Score 3 In Predicting Hospital Mortality In Emergency Intensive Care Unit.

Authors:  Qing-Bian Ma; Yuan-Wei Fu; Lu Feng; Qiang-Rong Zhai; Yang Liang; Meng Wu; Ya-An Zheng
Journal:  Chin Med J (Engl)       Date:  2017-07-05       Impact factor: 2.628

6.  Validation of the Pediatric Index of Mortality 3 in a Single Pediatric Intensive Care Unit in Korea.

Authors:  Ok Jeong Lee; Minyoung Jung; Minji Kim; Hae Kyoung Yang; Joongbum Cho
Journal:  J Korean Med Sci       Date:  2017-02       Impact factor: 2.153

7.  Characteristics and Clinical Outcomes of Critically Ill Cancer Patients Admitted to Korean Intensive Care Units.

Authors:  Soo Jin Na; Tae Sun Ha; Younsuck Koh; Gee Young Suh; Shin Ok Koh; Chae-Man Lim; Won-Il Choi; Young-Joo Lee; Seok Chan Kim; Gyu Rak Chon; Je Hyeong Kim; Jae Yeol Kim; Jaemin Lim; Sunghoon Park; Ho Cheol Kim; Jin Hwa Lee; Ji Hyun Lee; Jisook Park; Juhee Cho; Kyeongman Jeon
Journal:  Acute Crit Care       Date:  2018-08-31

8.  Body mass index and mortality in Korean intensive care units: a prospective multicenter cohort study.

Authors:  So Yeon Lim; Won-Il Choi; Kyeongman Jeon; Eliseo Guallar; Younsuck Koh; Chae-Man Lim; Shin Ok Koh; Sungwon Na; Young-Joo Lee; Seok Chan Kim; Ick Hee Kim; Je Hyeong Kim; Jae Yeol Kim; Jaemin Lim; Chin Kook Rhee; Sunghoon Park; Ho Cheol Kim; Jin Hwa Lee; Jisook Park; Gee Young Suh
Journal:  PLoS One       Date:  2014-04-18       Impact factor: 3.240

Review 9.  Year in review 2013: Acute lung injury, interstitial lung diseases, sleep and physiology.

Authors:  Amanda Piper; Yuanlin Song; Neil D Eves; Toby M Maher
Journal:  Respirology       Date:  2014-02-21       Impact factor: 6.424

  9 in total

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